SOCIAL MEDIA EXECUTIVE

Position Overview: We are seeking a State Sales head with a passion for education and a proven track record in sales to lead and expand our presence in the Punjab state. Ambitious and energetic candidates required expertise in customer aquacation strategy & dedication for effective sales & marketing strategy to drive sustainable financial growth with forging strong relationships & product knowledge.

Key Responsibilities:

• Sales Strategy: Develop & execute a comprehensive sales strategy that aligns with the company's goals and objectives. Continuously evaluate and refine the strategy based on market trends & customer feedback.
• Revenue Growth: Meet and exceed revenue targets by identifying business opportunities, negotiating contracts, and managing the sales pipeline. Foster long-term relationships with key accounts.
• Market Analysis: Stay updated on industry trends, customer needs to inform product development and sales strategies. Conduct market research,competition & competitor analysis to identify opportunities for growth.
• Sales Process Optimization: Implement & improve sales processes, systems & follows the best practices in sales and customer relationship management, use tools to enhance efficiency & effectiveness. 
• Reporting and Analysis: Regularly analyze sales data and performance metrics to provide insights and recommendations for improvement. Present reports to senior management to track progress and make informed decisions.
• Customer Engagement: Collaborate with the marketing team to create targeted marketing campaigns, promotions, and events to attract and retain customers. Ensure exceptional customer satisfaction through effective communication and support.
• Collaboration: Identify and establish strategic partnerships with educational institutions, organizations & other stakeholders to expand the company's reach and influence in the EdTech sector.

Qualification and experience:

• Proven working experience as a State Sales head in K-12 or CBSE school business, 
• Proven sales track record, computer Proficiency for proposal development & CRM tools
• Market knowledge, strong relationship is expected with ability to build rapport
• Good analytical & Strong problem solving skills, listening and questioning skills, combined with the ability to interact confidently with clients, able to work under pressure in result oriented manner
• Graduate from any branch computer science, MBA, BA, B.Com  
• Edtech/Book publisher or sales & marketing experience are added advantages

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Our Mission

To make video as accessible to machines as text and voice are today.

At lookup, we believe the world's most valuable asset is trapped. Video is everywhere, but it's unsearchable—a black box of insight that no one can open or atleast open affordably. We’re changing that. We're building the search engine for the visual world, so anyone can find or do anything with video just by asking.

Text is queryable. Voice is transcribed. Video, the largest and richest data source of all, is still a black box. A computer can't understand it, and so its value remains trapped.

Our mission at lookup is to fix this.

About the Role

We are looking for founding Backend Engineers to build a highly performant, reliable, and scalable API platform that makes enterprise video knowledge readily available for video search, summarization, and natural‑language Q&A. You will partner closely with our ML team working on vision‑language models to productionize research and deliver fast, trustworthy APIs for customers.

Examples of technical challenges you will work on include: distributed video storage, a unified application framework and data model for indexing large video libraries, low‑latency clip retrieval, vector search at scale, and end‑to‑end build, test, deploy, and observability in cloud environments.

What You’ll Do:

• Design and build robust backend services and APIs (REST, gRPC) for vector search, video summarization, and video Q&A.
• Own API performance and reliability, including low‑latency retrieval, pagination, rate limiting, and backwards‑compatible versioning.
• Design schemas and tune queries in Postgres, and integrate with unstructured storage.
• Implement observability across metrics, logs, and traces. Set error budgets and SLOs.
• Write clear design docs and ship high‑quality, well‑tested code.
• Collaborate with ML engineers to integrate and productionize VLMs and retrieval pipelines.
• Take ownership of architecture from inception to production launch.

Who You Are:

• 3+ years of professional experience in backend development.
• Proven experience building and scaling polished WebSocket, gRPC, and REST APIs.
• Exposure to distributed systems and container orchestration (Docker and Kubernetes).
• Hands‑on experience with AWS.
• Strong knowledge of SQL (Postgres) and NoSQL (e.g., Cassandra), including schema design, query optimization, and scaling.
• Familiarity with our stack is a plus, but not mandatory: Python (FastAPI), Celery, Kafka, Postgres, Redis, Weaviate, React.
• Ability to diagnose complex issues, identify root causes, and implement effective fixes.
• Comfortable working in a fast‑paced startup environment.

Nice to have:

• Hands-on work with LLM agents, vector embeddings, or RAG applications.
• Building video streaming pipelines and storage systems at scale (FFmpeg, RTSP, WebRTC).
• Proficiency with modern frontend frameworks (React, TypeScript, Tailwind CSS) and responsive UI design.

Location & Culture

• Full-time, in-office role in Bangalore (we’re building fast and hands-on).
• Must be comfortable with a high-paced environment and collaboration across PST time zones for our US customers and investors.
• Expect startup speed — daily founder syncs, rapid design-to-prototype cycles, and a culture of deep ownership.

Why You’ll Love This Role

• Work on the frontier of video understanding and real-world AI — products that can redefine trust and automation.
• Build core APIs that make video queryable and power real customer use.
• Own systems end to end: performance, reliability, and developer experience.
• Work closely with founders and collaborate in person in Bangalore.
• Competitive salary with meaningful early equity.

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

Key Responsibilities

• Design and Build complicated Workflow
• Understanding the user persona and deliver slick experience
• Experience in JavaScript (ReactJS / Redux) React Native, HTML, CSS, JQuery, HTTP
• Strong understating of XML, JSON, DOM, and w3c standards
• Providing technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support
• Be an Interface with Stockholder sand architects to create technology specifications from business requirements for one or more modules within the project
• Responsible to prepare the technical design of the components within the module (one or more of client/web presentation tier, server tier, data access and data model, integration component, package function customization)
• Proficient in articulating the pros and cons of using a certain technology stack or component or design pattern versus another to the clients and project team and drives selection of technologies, designs to come up with the optimal architecture
• Drives the performance tuning, re-design and re-factoring for a module
• Contributes to designing and implementing the build, release process as well as system configuration and deployment characteristics of the application
• Implements (hands-on) the module components based on prevailing Framework and Open-source standards & its best practices.
• Mentors the team (people working on the module and other project team members) on technology concepts and best practices for design, implementation and other processes

Primary Responsibilities:

• We need strong SQL database development skills using the MS SQL server.
• Strong skill in SQL server integration services (SSIS) for ETL development.
• Strong Experience in full life cycle database development project using SQL server.
• Experience in designing and implementing complex logical and physical data models.
• Exposure to web services & web technologies (Javascript, Jquery, CSS, HTML).
• Knowledge of other high-level languages (PERL, Python) will be an added advantage
• Nice to have SQL certification.

Good to have:

Role- Node.js Developer

Job description:

- Nodejs), MySQL, Postgre SQL
- Working experience of GIT
- Will prefer candidates preferred who have knowledge of GraphQL, Typescript
 - Well versed and experienced with unit testing, code coverage.
- Well versed with SOILD design principles and its application
- Good to have – some experience with Azure devops and/or azure functions.
- Good knowledge of designing and writing restful API

Responsibilities:

*Establishing and maintaining relationships with vendors and venues

*Planning event details and aspects, including seating, dining and guests

*Creating reliable financial reports and collecting payments on time

*Remaining under budget with all costs

*Managing events and addressing potential problems that may arise

*Planning for potential scenarios that could impact the integrity of the event

*Maintaining a working knowledge of the complex needs of a wide variety of events